strewerwer/agentic-rag-framework

Zero stars, single fork, and zero velocity over 241 days indicate this is an unpublished/abandoned personal project. The README describes a competent but standard RAG architecture (hybrid search + classification + fusion) that applies well-known patterns without novel differentiation. These capabilities are now commodity: (1) hybrid retrieval is standard practice in every modern RAG system; (2) query classification via LLM is trivial; (3) answer fusion/reranking is solved by off-the-shelf rerankers and LLM selection logic. Frontier labs (OpenAI, Anthropic, Google) have already integrated these into their product SDKs (LangChain, LlamaIndex, Vercel AI SDK, etc.). No evidence of production adoption, community, or unique domain angle. The project appears to be a competent engineering exercise but lacks the moat, traction, or novelty to survive competitive pressure. A frontier lab would not integrate this; they would more likely view it as a reference implementation of patterns they already ship. High frontier risk because RAG orchestration is central to LLM product strategy and this specific pattern (hybrid + classification + fusion) is actively being absorbed into platform capabilities.